Real Estate Website
This real estate platform was built using Next.js for the frontend, Python Flask for the backend API, and Prismic CMS for property content management. The website features advanced property search filters, interactive map integration, virtual tour capabilities, and lead capture forms designed to connect buyers with their perfect properties efficiently.
Next.js provides exceptional SEO performance and fast page loads crucial for property listings, with server-side rendering ensuring search engines can index all property details effectively. Python Flask backend handles complex search algorithms, property data processing, and integration with MLS systems and mapping services. Prismic's content structure enables real estate agents to add new listings, update property details, and publish market insights quickly without technical knowledge.
The website successfully generates qualified leads through intuitive property search, detailed listing pages, and strategic call-to-action placements. The combination of Next.js performance, Flask's data processing capabilities, and Prismic's content flexibility creates a platform that serves both property seekers and real estate professionals effectively.
The Challenge Of Project
- Building a Python Flask backend that processes complex property search queries with multiple filters, location-based sorting, and real-time availability updates from MLS systems.
- Implementing Next.js property listing pages with optimized image galleries, virtual tour embeds, and neighborhood information that load quickly despite rich media content.
- Integrating Prismic CMS with Next.js to enable real estate agents to manage property listings, update pricing, and publish market reports while maintaining site performance and SEO rankings.
